Data Catalog Bridge for Real-Time Access Control Sync
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Solution Overview
Problem
Conventional data security platforms fail to accurately reflect data object modifications and new data in real-time, leading to stale access controls and unauthorized user access.
Innovation Solution
A method and system for dynamically updating a data catalog by detecting changes in a data store, pulling metadata, generating access control metadata, and synchronizing with a data schema library to ensure real-time access control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional data security platforms use stored attribute access control, then access control is implemented, but the access control becomes stale and does not accurately reflect current data objects or tables
Solution Approach 1:
The system implements a feedback mechanism where the data catalog continuously monitors and detects changes in the data store, automatically updating access control metadata when modifications are detected. This closed-loop feedback ensures access control remains synchronized with current data state without manual intervention.
Solution Approach 2:
The data catalog performs self-service by automatically detecting changes in the data store and generating updated access control metadata without requiring external triggers or manual updates. The system autonomously maintains current access control information through its own monitoring and update capabilities.
2Adaptability or versatility
If the data store receives large amounts of new data objects daily and undergoes modifications, then data functionality is enhanced, but conventional access control cannot keep pace with changes
Solution Approach 1:
The system performs preliminary action by pre-establishing the data catalog as a monitoring intermediary between the data store and access control mechanisms. This proactive setup enables automatic detection and response to changes before they impact access control accuracy, allowing the system to adapt quickly to new data objects and modifications.
Solution Approach 2:
The data catalog serves as an intermediary layer between the data store and access control systems. It monitors changes in the data store, processes metadata, and generates updated access control rules, thereby mediating between data variability and access control stability without requiring direct coupling between the data store and access control mechanisms.
3Reliability
If manual updates to data catalog metadata are used, then access control can be updated, but the process is time-consuming and cannot reflect real-time changes
Solution Approach 1:
The data catalog implements self-service by automatically detecting changes in the data store and generating updated access control metadata without requiring manual intervention. The system autonomously monitors, detects, and updates access control information, eliminating the need for manual metadata updates while maintaining high reliability.
Solution Approach 2:
The system replaces manual mechanical update processes with automated electronic monitoring and detection mechanisms. The data catalog uses automated change detection algorithms and metadata generation processes to substitute human-operated manual updates, thereby improving both reliability and efficiency of access control maintenance.
Data Source
AI summary
Various methods and processes, apparatuses or systems, and media for dynamically updating of metadata in a data catalog for a change in a data store via a looped configuration are disclosed. The present disclosure provides detecting the change in the data store, automatically pulling, via the data catalog, first metadata corresponding to the change in the data store; automatically generating second metadata corresponding to the change in the data store; updating third metadata stored in the data catalog to incorporate information included in the first metadata and the second metadata for providing updated metadata; and updating a data schema library to reflect the updated metadata, in which the updated metadata and the updated data schema library modify an access control to allow a user group to access the changed data object in the data store.


